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  • 标题:Identifiability of pharmacological models for online individualization
  • 本地全文:下载
  • 作者:Ylva Wahlquist ; Amina Gojak ; Kristian Soltesz
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:15
  • 页码:25-30
  • DOI:10.1016/j.ifacol.2021.10.226
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThere is a large variability between individuals in the response to anesthetic drugs, that seriously limits the achievable performance of closed-loop controlled drug dosing. Full individualization of patient models based on early clinical response data has been suggested as a means to improve performance with maintained robustness (safety). We use estimation theoretic analysis and realization theory to characterize practical identifiability of the standard pharmacological model structure from anesthetic induction phase data and conclude that such approaches are not practically feasible.
  • 关键词:KeywordsIndividualized anesthesiaDrug deliveryIdentifiabilityPharmacokinetic/pharmacodynamic modelingSensitivity analysis
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